Virtusa - ERP Data Analyst

- Understanding the project requirements, by conducting Business Discovery Sessions

- Work with internal teams like system support teams, DBA and MIS teams to translate the existing requirements into the desired mart and reports

- Prepare data mapping documents, needed for development of various layers of the data platform (raw - bronze, EDM - silver, project specific - gold)

- Support during various phases of the projects as needed by the data engineers, data modelers, QA testers and Power BI developers

- Collaborating with other developers, data analysts, and stakeholders to ensure that the software meets the needs of the business or organization

Core Skills :

- Strong analytical and problem-solving skills to effectively design data solutions.

- Banking Retail, Business & Wholesale Product Knowledge and understanding

- Attention to detail and a commitment to delivering high-quality work.

- Excellent communication and teamwork skills to collaborate with cross-functional teams.

- Ability to manage time effectively and prioritize tasks in a dynamic work environment.

Technical Skills :

- Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language

- Data Visualization tools - Power BI, Business Objects, Crystal or similar tool

- Data Warehousing and ETL concepts

Competencies :

- Expert-level proficiency in SQL, Python with SAS/R/Spark as plus

- Deep understanding of distributed data processing frameworks, particularly Apache Spark.

- Experience with cloud platforms (Azure, AWS) - including Object storage, compute, networking, and data integration services.

- Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.

- Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).

- Knowledge of data governance, quality assurance, and compliance best practices.

- Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues) relevant to performance-critical data engineering

Education and Experience :

- Minimum formal education Bachelors or master's degree in computer science, Information Technology, or a related field.

- Demonstrated expertise in working with Data Bricks for data processing and analysis.

- Experience in implementing and optimizing data solutions using multiple programming languages in an Azure environment.

- Certification requirement Any Cloud Technology Certification an advantage

- Experience Proven experience as a Data Analyst or in a similar role, with at least X years of hands-on experience in developing data pipelines and managing data infrastructure within Azure.

- 3 years of experience in banking data

- Databricks and SQL experience required

- Experience in reporting, analysis and MIS teams preferred

- Worked on end-to-end Data Product deployment